Optimizing Table Delivery: Maximizing Profit and Minimizing Cost

  • Thread starter gillgill
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    Extrema
In summary, at t=330 the cost function is at its maximum, and at t=660 the cost function is at its minimum.
  • #1
gillgill
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Your firm offers to deliver 300 tables to a dealer, at $90 per table, and to reduce the price per table on the entire order by 25cent for each additional table over 300.
Find the dollar total involved in the largest possible transaction between the manufacturer and the dealer; then find the smallest possible dollar amount.

i don't know how to start this question.
equations being:
300+x
90-0.25x
?
please help
 
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  • #2
You want to express the cost of the transaction as a function of the number of tables purchased by, say C(t), where t denotes the # of tables purchased and C(t) the cost thereof. We need to determine C(t) explicitly that we may deduce its extrema.

"Your firm offers to deliver 300 tables to a dealer, at $90 per table, and to reduce the price per table on the entire order by 25cent for each additional table over 300."

The easiest way to model the cost function is piecewise:

If 300 or less tables are sold, then the price of each table is $90, so

[tex]C(t)=90t,\mbox{ for } t\leq 300[/tex]

after that, they get cheaper, so we modify the cost function to reflect that change in price per table. For each table sold over 300, the price per table drops $0.25 from the $90 base price per table, that is [$90 - (discount=$0.25 per table)(# of times to apply discount=t-300)] is the price per table if they bought t tables and t>300, then multiply by the # of tables purchased to get the total cost. Hence

[tex]C(t)=\left[ 90-0.25\left( t-300\right) \right] t,\mbox{ for } t>300[/tex]

this can be simplified to [itex]C(t)=165t-0.25t^{2},\mbox{ for } t>300[/itex]

So putting it all togeather, we have the piecewise cost function C(t) given by

[tex]C(t)=\left\{\begin{array}{cc}90t,&\mbox{ if }
t\leq 300\\165t-0.25t^{2}, & \mbox{ if } t>300\end{array}\right.[/tex]

From here, do what you would expect to: find the relative extrema of C(t).

Here is a plot of C(t) I did with maple...
 

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  • #3
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The minmum is very easy. It happens at 660 tables when we get all of them free of cost. The maximum occurs at 330. I think the equation must be 27000 + x(90 - (1/4)x) - 75x. Here x is the extra tables bought after 300. 75x is being subtracted from amount because an amount of 75$ is reduced from the total for the purchase of each table. The derivative is 15 - 1/2x. At this juncture we get the maxima to be
 
  • #4
i still don't really get how u get the min. at 660 tables...
 
  • #5
It's simple.

If, for every table over 300 the price per table decrases by $0.25, then after [tex]\frac{90}{0.25}=360[/tex] such discounts the tables are free, this occurs for a purchase of 300 + 360 = 660 tables are purchased, 300 to qualify for the discount, 360 more to reduce the price per table to nothing.

The rest of the plot is revealing.
 

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Last edited:
  • #6
o..ic..but this is a extrema (max/min) question...is there a way to show it using derivatives?
 
  • #7
Yes, that is how it was done above. For

[tex]C(t)=\left\{\begin{array}{cc}90t,&\mbox{ if }t\leq 300\\165t-0.25t^{2}, & \mbox{ if } t>300\end{array}\right.[/tex]

find the value(s) of t for which [tex]\frac{d}{dt} C(t)=0[/tex].

Note that cost should not be negative, so look for the extrema of C(t) for t in some bounded interval, namely [0,660] (since values of t outside this range don't make good sense in terms of $ and tables.)
 
  • #8
thanks so much.
 

1. What is the significance of determining the extrema of inventory and cost in a scientific setting?

The extrema of inventory and cost play a crucial role in the scientific study of supply chain management and optimization. By identifying the minimum and maximum values of inventory and cost, scientists can analyze and improve the efficiency and profitability of businesses.

2. How do scientists identify the extrema of inventory and cost?

There are several methods that scientists use to determine the extrema of inventory and cost, including mathematical models, algorithms, and statistical analysis. These techniques allow scientists to identify the optimal levels of inventory and cost that will result in the highest efficiency and profitability.

3. What factors influence the extrema of inventory and cost?

The extrema of inventory and cost are influenced by various factors such as demand, production costs, lead time, and storage capacity. These factors can change over time and impact the optimal inventory and cost levels, making it important for scientists to regularly reassess and adjust their calculations.

4. Can the extrema of inventory and cost be different for different industries or businesses?

Yes, the extrema of inventory and cost can vary depending on the industry, business size, and other factors. For example, a large manufacturing company may have different optimal inventory and cost levels compared to a small retail store. Thus, it is important for scientists to tailor their analyses to specific industries and businesses.

5. How can scientists use the extrema of inventory and cost to improve business operations?

By determining the optimal levels of inventory and cost, scientists can provide businesses with valuable insights on how to improve their operations. This can include recommendations for reducing inventory levels, optimizing production processes, and identifying potential cost-saving opportunities. By implementing these suggestions, businesses can increase their efficiency and profitability.

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